Psychologists Develop Two Potent New Predictors Of Suicide Risk

Two powerful new tests developed by psychologists at Harvard University show great promise in predicting patients’ risk of attempting suicide. The work may help clinicians overcome their reliance on self-reporting by at-risk individuals, information that often proves misleading when suicidal patients wish to hide their intentions. Both new tests are easily administered within minutes on a computer, giving quick insight into how patients are thinking about suicide, as well as their propensity to attempt suicide in the near future.

“Experts have long sought a clear behavioral marker of suicide risk,” says Harvard Professor of Psychology Matthew K. Nock, an author of two papers describing the new assessments of suicidal behavior. “The current approach, based on self-reporting, leads to predictions that are scarcely better than chance, since suicidal patients are often motivated to conceal or misrepresent their mental state. We sought to develop more sophisticated, objective measures of how psychiatric patients are thinking about suicide. Our work provides two important new tools clinicians can use in deciding how to treat potentially suicidal patients.”

Our work provides two important new tools clinicians can use in deciding how to treat potentially suicidal patients, said Harvard Professor of Psychology Matthew K. Nock (right), who worked on the study with Christine B. Cha (left), a doctoral student in psychology. (credit: Jon Chase/Harvard Staff Photographer)

Nock and colleagues report on the tests in two papers, one in the current Journal of Abnormal Psychology and a second published in Psychological Science. Unlike many previous efforts focused on biological markers of suicidal behavior, their work identifies two behavioral markers: subjects’ attention to suicide-related stimuli, and the extent to which they associate death or suicide with themselves.

In one study by Nock’s group, 124 patients in a psychiatric emergency department were administered a modified Stroop test measuring speed in articulating the color of words on a computer screen. Suicidal individuals were found to pay more attention to suicide-related words than to neutral words.

A second study adapted the Implicit Association Test developed by Harvard psychologist Mahzarin R. Banaji, using reaction times to semantic stimuli to measure 157 subjects’ automatic mental associations – in this case, the strength of associations between words related to “self” and words related to either “life” or “death/suicide.” Participants were shown pairs of words on a screen, with response speed revealing unconscious associations between the terms. For instance, a rapid response to stimuli associating self with death/suicide suggests a strong unconscious association between the two.

Nock and his colleagues found that those participants with strong associations between self and death/suicide were six times more likely to attempt suicide within the next six months than those holding stronger associations between self and life.

“These findings suggest that a person’s implicit cognition may guide which behavior he or she chooses to cope with extreme distress,” Nock says. “More specifically, an implicit association with death/suicide may represent one of the final steps in the pathway to suicide.”

I spoke with lead researcher and Harvard Professor of Psychology Matthew K. Nock. He stated that researchers can request a free copy of this suicide assessment software. However, Dr. Nock explained that this assessment is not ready for clinical use and that he hopes to release a clinical version in the next few years. He also reports that an online version is in the works that will allow anyone to take this test.

We wish Dr. Nock the very best in his work with this important endeavor to save human lives.